Triple

T17063569
Position Surface form Disambiguated ID Type / Status
Subject Cinemax E414023 entity
Predicate hasBrand P1500 FINISHED
Object Cinemáx E414023 NE FINISHED

How this triple was built (2 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Cinemáx | Statement: [Cinemax, hasBrand, Cinemáx]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cinemáx
Context triple: [Cinemax, hasBrand, Cinemáx]
  • A. Cinemax chosen
    Cinemax is an American premium cable and satellite television network known for airing feature films, original series, and late-night programming.
  • B. Filmax
    Filmax is a Spanish film production and distribution company known for producing and releasing a wide range of genre and independent films.
  • C. Cinemastar
    Cinemastar is a line of hard disk drives produced by HGST, typically designed for consumer and multimedia applications.
  • D. The Movie Network
    The Movie Network was a Canadian premium television service known for broadcasting commercial-free movies, original series, and special event programming.
  • E. Starz
    Starz is a 2020 studio album by Swedish rapper Yung Lean, known for its atmospheric production and introspective, melancholic style.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69d886cde3d481908d4d01ba88ba7eb7 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3db7f6a6081909bebce3ce925e663 completed April 18, 2026, 7:29 p.m.
NED1 Entity disambiguation (via context triple) batch_6a01234e9a94819094618ba43b7d22b4 completed May 11, 2026, 12:31 a.m.
Created at: April 10, 2026, 5:34 a.m.